Data Engineer
Thomson Reuters Bengaluru, Karnataka, India
Job Description
"Transform business outcomes with cutting-edge AI, data engineering, and reporting expertise as a Data Engineer at Thomson Reuters."
Thomson Reuters is a leading provider of intelligent information for businesses and professionals. As a Data Engineer in this esteemed organization, you will play a pivotal role in architecting, developing, and maintaining complex reports and dashboards that drive business growth and innovation.
With a strong focus on AI, data engineering, and reporting, you will be responsible for implementing AI across various solutions, leveraging enterprise AI platforms, tools, LLMs, RAGs, and more. Your expertise will be instrumental in building scalable LLM/RAG-based solutions, data pipelines, ETL workflows, and optimizing data models to drive business-critical insights.
Why you should learn this:
The demand for skilled Data Engineers with AI expertise is skyrocketing, with a projected growth rate of 14% in the next 5 years, outpacing the national average.
Expected Salary: $141,000 - $250,000 per year, depending on experience and location, making this a highly rewarding career choice.
How it works:
- Step 1: Collaborate with stakeholders to define complex reporting needs and develop data-driven strategies.
- Step 2: Design, develop, and maintain scalable AI-powered solutions using Snowflake, Power BI, Tableau, Excel, and PowerPoint.
Core Concepts to Master
Enterprise AI Platforms
You will be working with leading enterprise AI platforms, leveraging their capabilities to drive business growth and innovation. Key concepts include understanding the strengths and weaknesses of each platform, architecting solutions to meet complex reporting needs, and optimizing data models for maximum impact.
LLMs and RAGs
Large Language Models (LLMs) and Retrieval Augmented Generation (RAGs) are critical components of modern AI solutions. You will need to understand how to leverage these technologies to build scalable, data-driven solutions that drive business outcomes.
Data Pipelines and ETL Workflows
Data pipelines and ETL workflows are essential for extracting, transforming, and loading data from various sources. You will need to understand how to design, develop, and maintain efficient data pipelines and ETL workflows to support AI-powered solutions.
Interview Questions (Beginner)
- What is your experience with AI platforms, and how have you applied them in previous roles?
- Can you explain the concept of LLMs and RAGs, and how they are used in AI solutions?
- What is your approach to designing and developing data pipelines and ETL workflows?
Job Overview
Advance Questions
- • How do you prioritize and optimize data models to drive maximum business impact?
- • Can you walk us through a complex AI-powered solution you've developed, and the challenges you overcame?
- • How do you stay up-to-date with the latest AI and data engineering trends, and how do you apply this knowledge in your work?